Well, I have learned something new today. Thank you for sharing your experience.
Best,
Hisham
________________________________
From: Code for Libraries <[log in to unmask]> on behalf of Stuart A. Yeates <[log in to unmask]>
Sent: Wednesday, February 5, 2025 8:36 PM
To: [log in to unmask] <[log in to unmask]>
Subject: [CODE4LIB] linked data book displays
We're all familiar with the kinds of book displays common near the
entrances of physical libraries: topical and thematic displays to spark
readers' interest and generate reader interest across the collection.
I've been trying to see whether we can generate sets using the semantic web
to do something like that digitally.
I'm using LCCN authority control numbers, since they're the universal
method of identifying authors across the bibliographic world (except for
contemporary scientific publishing which uses ORCIDs, but the same concept
would work for them).
Pretty much every library system has a method to ingest a white-space
separated list of LCCNs and create a set of bibliographic items (books)
authored by those people.
So I created a series of #wikidata queries that "find LCCNs of horror
authors" "find authors born today" or "find Màori people" (our local
indigenous population). There are two forms of the query, one with lots of
details (so you can see the query is working and tweak it to your
situation) and one that returns the LCCNs.
The queries are listed at
https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.wikidata.org%2Fwiki%2FUser%3AStuartyeates%2FPeopleForBookDisplays&data=05%7C02%7CHMakki%40FLVC.ORG%7C12f6fc62a1554f0d4a5f08dd464ecf8e%7C60ebd441a2f94841802f22bf1380b4ae%7C0%7C0%7C638744026514563037%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=335%2BvNuI5wLxaLjdPO29wYQsrqfOyNXILTBPWNakEvI%3D&reserved=0<https://www.wikidata.org/wiki/User:Stuartyeates/PeopleForBookDisplays> and
use #SPARQL, which is vaguely like SQL, but not.
Have a click around and let me know what you think!
Note that for structural reasons the topic query is not going to work
especially well.
cheers
stuart
--
...let us be heard from red core to black sky
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